Multi-Source Depth Estimation: Utilizing Real, Synthetic, and Monocular Depth Data with Custom Loss Functions

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

Original language	English
Pages (from-to)	876
Number of pages	1
Journal	Signal, Image and Video Processing
Volume	19
Issue number	11
Publication status	Published - 2025

Cite this

@article{2b178c591bb94a5898caea5c84ad47fa,

title = "Multi-Source Depth Estimation: Utilizing Real, Synthetic, and Monocular Depth Data with Custom Loss Functions",

author = "Hafeez, \{Muhammad Adeel\} and Ganesh Sistu and Madden, \{Michael G\} and Ihsan Ullah",

year = "2025",

language = "English",

volume = "19",

pages = "876",

journal = "Signal, Image and Video Processing",

issn = "1863-1703",

publisher = "Springer London",

number = "11",

}

TY - JOUR

T1 - Multi-Source Depth Estimation: Utilizing Real, Synthetic, and Monocular Depth Data with Custom Loss Functions

AU - Hafeez, Muhammad Adeel

AU - Sistu, Ganesh

AU - Madden, Michael G

AU - Ullah, Ihsan

PY - 2025

Y1 - 2025

M3 - Article

SN - 1863-1703

VL - 19

SP - 876

JO - Signal, Image and Video Processing

JF - Signal, Image and Video Processing

IS - 11

ER -